WO2020254385A1 - Medical image check apparatus - Google Patents
Medical image check apparatus Download PDFInfo
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- WO2020254385A1 WO2020254385A1 PCT/EP2020/066732 EP2020066732W WO2020254385A1 WO 2020254385 A1 WO2020254385 A1 WO 2020254385A1 EP 2020066732 W EP2020066732 W EP 2020066732W WO 2020254385 A1 WO2020254385 A1 WO 2020254385A1
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- WIPO (PCT)
- Prior art keywords
- image
- processing unit
- descriptive label
- anatomical feature
- radiological
- Prior art date
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- 238000012545 processing Methods 0.000 claims abstract description 71
- 238000000034 method Methods 0.000 claims description 33
- 210000003484 anatomy Anatomy 0.000 claims description 20
- 238000004590 computer program Methods 0.000 claims description 19
- 238000003384 imaging method Methods 0.000 description 7
- 238000002372 labelling Methods 0.000 description 5
- FGUUSXIOTUKUDN-IBGZPJMESA-N C1(=CC=CC=C1)N1C2=C(NC([C@H](C1)NC=1OC(=NN=1)C1=CC=CC=C1)=O)C=CC=C2 Chemical compound C1(=CC=CC=C1)N1C2=C(NC([C@H](C1)NC=1OC(=NN=1)C1=CC=CC=C1)=O)C=CC=C2 FGUUSXIOTUKUDN-IBGZPJMESA-N 0.000 description 3
- 238000004891 communication Methods 0.000 description 3
- 230000001419 dependent effect Effects 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 238000012937 correction Methods 0.000 description 2
- 229940079593 drug Drugs 0.000 description 2
- 239000003814 drug Substances 0.000 description 2
- 210000000056 organ Anatomy 0.000 description 2
- 230000003936 working memory Effects 0.000 description 2
- 206010067265 Heterotaxia Diseases 0.000 description 1
- 208000031733 Situs inversus totalis Diseases 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000002059 diagnostic imaging Methods 0.000 description 1
- 230000008713 feedback mechanism Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 230000015654 memory Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012805 post-processing Methods 0.000 description 1
- 230000029058 respiratory gaseous exchange Effects 0.000 description 1
- 238000012552 review Methods 0.000 description 1
- 208000008797 situs inversus Diseases 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 230000002195 synergetic effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
- G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10116—X-ray image
Definitions
- the present invention relates to a medical image check apparatus, a method of checking a medical image, as well as to a computer program element and a computer readable medium.
- Radiographers need to take different views of different anatomical features of patients, and keeping track of this information can be difficult and mistakes do happen, where an acquired image is incorrectly labelled.
- EP2457512A1 describes a system and method for including and correcting subject orientation data in a digital radiographic image.
- a subject is positioned in an X-ray imaging system and an orientation of the subject is entered into the X-ray imaging system.
- the subject is imaged with an X-ray exposure to create an X-ray image of the subject.
- An operator reviews the X-ray image of the subject and subject orientation data. If the subject orientation data is not correct, the operator may correct the subject orientation data so that it matches the subject's anatomy during the X-ray exposure.
- the correct subject orientation data is then saved and is part of the X-ray image and Digital Imaging and Communications in Medicine (DICOM) header when sent to a Picture Archiving and Communication System (PACS).
- DICOM Digital Imaging and Communications in Medicine
- US2010185459A1 describes systems and methods for X-ray image identification. The systems and methods associate patient information with image
- the method includes acquiring patient information from an identification member external to the digital X-ray detector and storing the patient information within the X-ray detector or on an image.
- the method further includes associating the patient information with the images acquired by the X-ray imaging system and communicating the acquired images with associated information to a host system when the x-ray detector is connected to the host system.
- US2012002853 A1 describes a system and method for image file header configuration. This involves retrieving one or more criterion for configuration of an image orientation parameter, configuring the image orientation parameter based on the one or more criterion, obtaining image data, and storing the image data in an image file.
- the image file has a header portion including the image orientation parameter.
- the image orientation parameter may be modified from a default configuration.
- the one or more criterion may include user preference, modality restriction, system preference, and/or rule, for example.
- the method may further include saving the image file with the configured image orientation parameter. Additionally, the method may include displaying an image according to the configured image orientation parameter. The image may be automatically oriented for display based on the configured image orientation parameter.
- a medical image processing apparatus comprises a structure identification unit configured to automatically identify at least one anatomical structure of a medical image data set, and a metadata unit configured to validate or populate metadata associated with the medical image data set based on the identified at least one anatomical structure.
- US2011/0188718A1 describes a system for admitting medical imaging data comprising image data and associated metadata comprises input means arranged to received image data from at least one source, a memory having stored therein consistency data defining at least one consistency criterion, and processing means arranged to analyse the imaging data to determined whether it meets the consistency criterion, and if it does not to amend the imaging data so that it does.
- a medical image check apparatus comprising:
- the input unit is configured to provide a radiological image to the processing unit.
- the radiological image comprises image data associated with an anatomical feature of a patient.
- a descriptive label is associated with the radiological image.
- the radiological image comprises image data associated with the descriptive label.
- the image data associated with the descriptive label comprises a digital overlay, or the image data associated with the descriptive label was acquired at the same time as image data associated with the anatomical feature of the patient by an image acquisition unit.
- the processing unit is configured to identify the anatomical feature in the radiological image, the identification comprising utilization of an image processing algorithm.
- the processing unit is configured to determine a consistency between the identified anatomical feature in the radiological image and the descriptive label.
- the output unit is configured to output information on the basis of the determined consistency.
- a smart exam functionality is provided, where for example for a chest PA/AP image feedback is provided to the radiographer in case there are aspects that affect the specific image. Also, a determination can be made that a PA image has been correctly labelled and has not for example been labelled as a LAT image, and vice versa. This is very beneficial because these types of images are frequently acquired together, but the order in which they are acquired, which can lead to incorrect labelling. However, the apparatus can catch this mistake. Thus, a consistency check can be made as to whether the correct part of the anatomy has been imaged, whether it has been imaged in the correct orientation and/or view and/or state of rotation, whether the patient was in the correct“state” - such as having exhaled or inhaled.
- the radiographer is helped because the medical image check apparatus -“anatomy checker” identifies the anatomy in the image and makes an alert if it does not match with describing labels.
- the apparatus can determine that a part of the body was acquired with x-rays passing from the posterior of the body to the anterior and if the associated label is PA then it can be determined that the label is consistent. But on the other hand if the label was AP it can be determined that the label is not consistent. This can be achieved, for example because in AP view posterior aspect gives better shadow, while in PA view anterior aspect gives better more clearer shadow due to features that are closer to the detector having a clearer shadow.
- the processing unit is configured to utilize the descriptive label to select at least one reference radiological image.
- the identification of the anatomical feature in the radiological image can then comprise a comparison between the radiological image and the at least one reference radiological image.
- the apparatus can determine that a part of the body was acquired with x-rays passing from the posterior of the body to the anterior and if the associated label is PA then it can be determined that the label is consistent.
- part of the anatomy is acquired, for example a part of the anatomy acquired with in a PA view, whilst the label associated with the image is AP.
- the database of images is used to provide one or more images of that part of the anatomy with an AP view, and the apparatus can immediate determine that the acquired image is not consistent, because it was acquired from the opposite direction.
- the processing unit is configured to query an external database to select the at least one reference radiological image.
- the processing unit is configured to instruct that the local database is populated with the selected at least one reference radiological image from the external database.
- a local projection database can be updated using images with projections that are not common (or known) to the apparatus. In this manner, the apparatus can be continually improved automatically in an efficient manner.
- the processing unit is configured to implement an image processing algorithm to identify the descriptive label.
- identification of the descriptive label comprises utilization of a text recognition algorithm.
- the processing unit determines that the identified anatomical feature in the radiological image is consistent with the descriptive label, the processing unit is configured to control the output unit such that the output information comprises an indication that an anatomy and/or image check is ok.
- the output information comprises details of at least one further image view of the anatomical feature to a view associated with the descriptive label.
- the processing unit determines that the identified anatomical feature in the radiological image is not consistent with the descriptive label, the processing unit is configured to control the output unit such that the output information comprises an indication that an anatomy and/or image check is not ok.
- the output information comprises one or more of: a request to check the anatomical feature; a request to check a view direction of an image acquisition unit; an alternative descriptive label; a request to re-take a scan with matching positioning; a display of tutorial information.
- the input unit is configured to receive an input from a user that the identified anatomical feature in the radiological image is consistent with the descriptive label.
- a method of checking a medical image comprising:
- radiological image comprises image data associated with an anatomical feature of a patient, wherein a descriptive label is associated with the radiological image, and wherein the radiological image comprises image data associated with the descriptive label, wherein the image data associated with the descriptive label comprises a digital overlay, or wherein the image data associated with the descriptive label was acquired at the same time as image data associated with the anatomical feature of the patient by an image acquisition unit;
- the processing unit identifying by the processing unit the anatomical feature in the radiological image, the identifying comprising utilizing an image processing algorithm
- a computer program element controlling one or more of the apparatuses as previously described which, if the computer program element is executed by a processing unit, is adapted to perform one or more of the methods as previously described.
- a computer readable medium having stored computer element as previously described.
- the computer program element can for example be a software program but can also be a FPGA, a PLD or any other appropriate digital means.
- Fig. 1 shows a schematic set up of an example of a medical image check apparatus
- Fig. 2 shows a method of checking a medical image
- Fig. 3 shows a representation of an X-ray image with descriptive labelling.
- Fig. 1 shows an example of a medical image check apparatus 10, where essential features are represented in solid lines and optional features are represented in hashed lines.
- the apparatus comprises an input unit 20, a processing unit 30, and an output unit 40.
- the input unit is configured to provide a radiological image to the processing unit.
- the radiological image comprises image data associated with an anatomical feature of a patient.
- a descriptive label is associated with the radiological image.
- the processing unit is configured to identify the anatomical feature in the radiological image. The identification comprises utilization of an image processing algorithm.
- the processing unit is configured to determine a consistency between the identified anatomical feature in the radiological image and the descriptive label.
- the output unit is configured to output information on the basis of the determined consistency.
- the determination of consistency comprises a determination that a RIS (Radiology Information System) code required in acquiring the radiological image does not fit with the identified anatomical feature.
- RIS Radiology Information System
- identification of the anatomical feature includes an identification of the projection used in acquiring the image data.
- the determination of consistency comprises a determination that a DICOM (Digital Imaging and Communications in Medicine) code describing the radiological image does not fit with the identified anatomical feature.
- DICOM Digital Imaging and Communications in Medicine
- the processing unit is configured to utilize the descriptive label to select at least one reference radiological image.
- the identification of the anatomical feature in the radiological image can then comprise a comparison between the radiological image and the at least one reference radiological image.
- reference radiological images are held in a local database 50 also called a projection-database.
- a local database in the form of a projection database is populated with using ground truth, where imagery is correctly associated with descriptive labels. This can be achieved manually, or through the use of artificial intelligence, for example utilizing machine learning algorithms.
- the processing unit is configured to query an external database 60 to select the at least one reference radiological image.
- the processing unit is configured to instruct that the local database is populated with the selected at least one reference radiological image from the external database.
- the radiological image comprises image data associated with the descriptive label.
- the image data associated with the descriptive label comprises a digital overlay.
- the digital overlay is provided from DICOM projection information.
- the image data associated with the descriptive label was acquired at the same time as image data associated with the anatomical feature of the patient by an image acquisition unit.
- the processing unit is configured to implement an image processing algorithm to identify the descriptive label.
- identification of the descriptive label comprises utilization of a text recognition algorithm.
- the processing unit determines that the identified anatomical feature in the radiological image is consistent with the descriptive label, the processing unit is configured to control the output unit such that the output information comprises an indication that an anatomy and/or image check is ok.
- the output information comprises details of at least one further image view of the anatomical feature to a view associated with the descriptive label.
- the processing unit determines that the identified anatomical feature in the radiological image is not consistent with the descriptive label, the processing unit is configured to control the output unit such that the output information comprises an indication that an anatomy and/or image check is not ok.
- the output information comprises one or more of: a request to check the anatomical feature; a request to check a view direction of an image acquisition unit; an alternative descriptive label; a request to re-take a scan with matching positioning; a display of tutorial information.
- the input unit is configured to receive an input from a user that the identified anatomical feature in the radiological image is consistent with the descriptive label.
- the processing unit is configured to update a local database on the basis of the user provided correction.
- Fig. 2 shows a method 100 of checking a medical image in its basic steps, where essential steps are represented in solid lines and optional steps are represented in hashed lines.
- the method comprises:
- a providing step 110 also referred to as step a) providing from an input unit to a processing unit a radiological image, wherein the radiological image comprises image data associated with an anatomical feature of a patient, and wherein a descriptive label is associated with the radiological image;
- identifying by the processing unit the anatomical feature in the radiological image the identifying comprising utilizing an image processing algorithm
- determining step 130 also referred to as step e
- step f outputting by an output unit output information on the basis of the determined consistency.
- the determining of consistency comprises a determination that a RIS code required in acquiring the radiological image does not fit with the identified anatomical feature.
- the determining of consistency comprises a determination that a DICOM code describing the radiological image does not fit with the identified anatomical feature.
- the method comprises step b) selecting 150 by the processing unit at least one reference radiological image, the selecting comprising utilizing the descriptive label, and wherein step c) comprises comparing the radiological image and the at least one reference radiological image.
- reference radiological images are held in a local database.
- step b) if the processing unit determines determination that no reference radiological images are available in a local database, the processing unit queries an external database to select the at least one reference radiological image.
- the method comprises populating the local database with the selected at least one reference radiological image from the external database.
- the radiological image comprises image data associated with the descriptive label.
- the image data associated with the descriptive label comprises a digital overlay.
- the digital overlay is provided from DICOM projection information.
- the image data associated with the descriptive label was acquired at the same time as image data associated with the anatomical feature of the patient by an image acquisition unit; and wherein the method comprises step d) identifying 160)by the processing unit the descriptive label comprising implementing an image processing algorithm.
- identifying the descriptive label comprises utilization of a text recognition algorithm.
- step f) comprises controlling by the processing unit the output unit such that the output information comprises an indication that an anatomy and/or image check is ok.
- the output information comprises details of at least one further image view of the anatomical feature to a view associated with the descriptive label.
- step f) comprises controlling by the processing unit the output unit such that the output information comprises an indication that an anatomy and/or image check is not ok.
- the output information comprises one or more of: a request to check the anatomical feature; a request to check a view direction of an image acquisition unit; an alternative descriptive label; a request to re-take a scan with matching positioning; a display of tutorial information.
- method comprises receiving by the input unit an input from a user that the identified anatomical feature in the radiological image is consistent with the descriptive label.
- the processing unit is configured to update a local database on the basis of the user provided correction.
- the medical image check apparatus and method of checking a medical image described here address this by determining a consistency between the acquired image and the descriptive label, and if there is no match this can be indicated to the radiographer.
- the laterality may be miss-labelled, where the organ is annotated as“Right” but it is in fact“left”
- a chest image may be confused in terms of PA and AP projections. So a“situs inversus” (heart on the other side) cannot be clearly identified.
- the medical image check apparatus and method of checking a medical image addresses this miss-labelling by determining a consistency between the acquired image and an associated descriptive label.
- Such an acquired image is shown in Fig. 3.
- a first is“PA” shown on the left side. This text is made by a digital overlay from the DICOM projection information. So the details of this descriptive label are known and be easily provided to the apparatus.
- the second label is“L” shown at the right hand side.
- the L was a lead letter that was placed with the patient when X-rayed, and the associated imagery forms part of the X-ray image data.
- the descriptive label is not known as such, but can be determined from text recognition algorithms.
- Other labels can for example be a label for the breathing state for chest exposures: It can for example be practiceinhale”, which is the regular case and often not explicitly shown or conveyexhale”, which is exceptional and always requires a label.
- the medical image check apparatus and method of checking a medical image achieves the checking of whether an image is consistent with the associated label in the following way.
- image type determination software is called that returns the known projection and anatomical feature that best matches.
- This process uses a local database termed the projection-database.
- the projection-database has been prepared in a learning phase using some many (could be thousands of) images with ground truth information.
- “Lowenstein view”) shows up in the system via the hospital information system HIS, the system checks whether this is already in the projection-database. If this code (descriptive label) is not yet in the database a query is sent into the PACS to retrieve all available examples of this projection. If they are available, the projection-database is updated accordingly.
- An output is also displayed that the laterality of the organ also matches the DICOM labels.
- An output is also displayed of a list of additional views that are often combined with the one that has been done. If the X-ray does not match the anatomical code:
- An option is display to: Accept this image as“projection OK” and update the projection-database accordingly
- a computer program or computer program element is provided that is characterized by being configured to execute the method steps of the method according to one of the preceding embodiments, on an appropriate system.
- the computer program element might therefore be stored on a computer unit.
- This computing unit may be configured to perform or induce performing of the steps of the method described above. Moreover, it may be configured to operate the components of the above described system.
- the computing unit can be configured to operate automatically and/or to execute the orders of a user.
- a computer program may be loaded into a working memory of a data processor. The data processor may thus be equipped to carry out the method according to one of the preceding embodiments.
- This exemplary embodiment of the invention covers both, a computer program that right from the beginning uses the invention and computer program that by means of an update turns an existing program into a program that uses the invention.
- the computer program element might be able to provide all necessary steps to fulfill the procedure of an exemplary embodiment of the method as described above.
- a computer readable medium such as a CD-ROM, USB stick or the like
- the computer readable medium has a computer program element stored on it which computer program element is described by the preceding section.
- a computer program may be stored and/or distributed on a suitable medium, such as an optical storage medium or a solid state medium supplied together with or as part of other hardware, but may also be distributed in other forms, such as via the internet or other wired or wireless telecommunication systems.
- a suitable medium such as an optical storage medium or a solid state medium supplied together with or as part of other hardware, but may also be distributed in other forms, such as via the internet or other wired or wireless telecommunication systems.
- the computer program may also be presented over a network like the World Wide Web and can be downloaded into the working memory of a data processor from such a network.
- a medium for making a computer program element available for downloading is provided, which computer program element is arranged to perform a method according to one of the previously described embodiments of the invention.
Abstract
Description
Claims
Priority Applications (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202080044988.5A CN114008718A (en) | 2019-06-20 | 2020-06-17 | Medical image examination apparatus |
EP20732912.9A EP3987532A1 (en) | 2019-06-20 | 2020-06-17 | Medical image check apparatus |
JP2021575038A JP2022537036A (en) | 2019-06-20 | 2020-06-17 | Medical image checking device |
US17/619,074 US20220301690A1 (en) | 2019-06-20 | 2020-06-17 | Medical image check apparatus |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP19181472.2 | 2019-06-20 | ||
EP19181472.2A EP3754666A1 (en) | 2019-06-20 | 2019-06-20 | Medical image check apparatus |
Publications (1)
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WO2020254385A1 true WO2020254385A1 (en) | 2020-12-24 |
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Application Number | Title | Priority Date | Filing Date |
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PCT/EP2020/066732 WO2020254385A1 (en) | 2019-06-20 | 2020-06-17 | Medical image check apparatus |
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US (1) | US20220301690A1 (en) |
EP (2) | EP3754666A1 (en) |
JP (1) | JP2022537036A (en) |
CN (1) | CN114008718A (en) |
WO (1) | WO2020254385A1 (en) |
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US20210366592A1 (en) * | 2020-05-20 | 2021-11-25 | Koninklijke Philips N.V. | Real-time digital imaging and communication in medicine (dicom) label checker |
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US20100185459A1 (en) | 2009-01-16 | 2010-07-22 | German Guillermo Vera | Systems and methods for x-ray image identification |
US20110188718A1 (en) | 2008-07-25 | 2011-08-04 | Derek Lionel Glendon Hill | Image data management systems |
US20120002853A1 (en) | 2005-04-22 | 2012-01-05 | General Electric Company | System and method for definition of dicom header values |
EP2457512A1 (en) | 2010-11-27 | 2012-05-30 | General Electric Company | System and method for including and correcting subject orientation data in digital radiographic images |
US20160092748A1 (en) | 2014-09-30 | 2016-03-31 | Kabushiki Kaisha Toshiba | Medical data processing apparatus and method |
US20160328517A1 (en) * | 2014-01-27 | 2016-11-10 | Koninklijke Philips N.V. | Extraction of information from an image and inclusion thereof in a clinical report |
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US10275130B2 (en) * | 2017-05-12 | 2019-04-30 | General Electric Company | Facilitating transitioning between viewing native 2D and reconstructed 3D medical images |
-
2019
- 2019-06-20 EP EP19181472.2A patent/EP3754666A1/en not_active Withdrawn
-
2020
- 2020-06-17 WO PCT/EP2020/066732 patent/WO2020254385A1/en active Application Filing
- 2020-06-17 US US17/619,074 patent/US20220301690A1/en active Pending
- 2020-06-17 CN CN202080044988.5A patent/CN114008718A/en active Pending
- 2020-06-17 EP EP20732912.9A patent/EP3987532A1/en active Pending
- 2020-06-17 JP JP2021575038A patent/JP2022537036A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
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US20120002853A1 (en) | 2005-04-22 | 2012-01-05 | General Electric Company | System and method for definition of dicom header values |
US20110188718A1 (en) | 2008-07-25 | 2011-08-04 | Derek Lionel Glendon Hill | Image data management systems |
US20100185459A1 (en) | 2009-01-16 | 2010-07-22 | German Guillermo Vera | Systems and methods for x-ray image identification |
EP2457512A1 (en) | 2010-11-27 | 2012-05-30 | General Electric Company | System and method for including and correcting subject orientation data in digital radiographic images |
US20160328517A1 (en) * | 2014-01-27 | 2016-11-10 | Koninklijke Philips N.V. | Extraction of information from an image and inclusion thereof in a clinical report |
US20160092748A1 (en) | 2014-09-30 | 2016-03-31 | Kabushiki Kaisha Toshiba | Medical data processing apparatus and method |
Also Published As
Publication number | Publication date |
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US20220301690A1 (en) | 2022-09-22 |
JP2022537036A (en) | 2022-08-23 |
EP3754666A1 (en) | 2020-12-23 |
EP3987532A1 (en) | 2022-04-27 |
CN114008718A (en) | 2022-02-01 |
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